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| File Name: | Bioinformatics Scripting: Python, R, Linux For Data Analysis |
| Content Source: | https://www.udemy.com/course/bioinformatics-scripting-python-r-linux-for-data-analysis/ |
| Genre / Category: | Programming |
| File Size : | 8 GB |
| Publisher: | udemy |
| Updated and Published: | March 04, 2024 |
- Fundamentals of Python, R, and Bash scripting: Learn the basics of these scripting languages, including syntax, data types, variables, and control structures.
- Data parsing and manipulation: Understand how to parse and manipulate various biological data types, such as DNA sequences, protein structures, and gene express
- Data visualization: Learn how to visualize biological data using Python and R, including creating plots, charts, and graphs to gain insights from the data.
- Statistical analysis: Explore statistical analysis techniques in R for analyzing biological datasets, including hypothesis testing, regression analysis, and clu
- Automation and pipeline development: Learn how to automate repetitive tasks and build efficient data processing pipelines using Bash scripting.
- Real-life data analysis projects: Apply the skills learned throughout the course to real-life biological datasets, gaining hands-on experience in bioinformatics
- Best practices in bioinformatics scripting: Learn best practices for writing clean, efficient, and maintainable scripts for bioinformatics analysis.
DOWNLOAD LINK: Bioinformatics Scripting: Python, R, Linux For Data Analysis
Bioinformatics_Scripting_python_R_Linux_for_data_analysis.part1.rar – 4.9 GB
Bioinformatics_Scripting_python_R_Linux_for_data_analysis.part2.rar – 3.1 GB
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